In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Abstract: Refactoring is the process of restructuring existing source code to improve its internal structure without altering its external behavior. Refactoring is essential to maintaining software ...

Abstract: Enzymes play a critical role in catalyzing biochemical reactions, and accurately predicting their substrate specificity is essential for applications in drug discovery, metabolic engineering ...

As the race to develop artificial intelligence that rivals human cognition heats up across China, Europe and the U.S., a similar competition is unfolding in the electric vehicle industry. Automakers ...

From textile roots to precision machining, Ketchie is a third-generation manufacturer that has leveraged Mastercam CAD/CAM software and Mazak technology to streamline operations, reduce cycle times ...